Bloomberg invites exceptional Ph.D. students working in broadly-construed data science, including natural language processing, machine learning, and artificial intelligence to apply for the inaugural Bloomberg Data Science Ph.D. Fellowship for the academic year of 2018-2019. The goal of this fellowship is to provide support and encouragement of groundbreaking publications in both academic journals and conference proceedings.
Applicants must be full-time students who are enrolled in a Ph.D. program, and in their third year or higher during the 2018-2019 academic year (among other criteria).
The grant includes full tuition support, $35,000 stipend, $5,000 conference travel support, Bloomberg mentors, 12-week summer internship at Bloomberg, and the opportunity to renew fellowship for up to three years total.
The deadline is March 15, 2018.
For more info about the grant details, eligibility criteria and proposal requirements, please visit the fellowship website.